Automated Detection of Multiple Sclerosis Lesions Using Texture-based Features and a Hybrid Classifier
Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedio...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Guilan University of Medical Sciences
2020-03-01
|
| Series: | Caspian Journal of Neurological Sciences |
| Subjects: | |
| Online Access: | http://cjns.gums.ac.ir/article-1-303-en.html |